GEO for SaaS & B2B: how to get cited by AI
B2B research is shifting into AI: the buyer asks 'best platform for…', 'X vs Y', 'how to set up…' — and gets an answer naming products. The winner is whoever's docs, comparisons and integrations the engine can read and cite.
Where you lose AI answers
- AI recommends competitors for 'best tool for…'.
- Docs render on the client (JS) — to an AI crawler they're empty.
- No comparison pages and no llms.txt — nothing to cite and no map to navigate.
How people ask AI
GEO checklist for this niche
'X vs Y' and 'alternatives to Z' pages — the main entry points into B2B AI answers.
Server-render docs/help — AI crawlers don't execute JavaScript.
A site map for AI + schema (SoftwareApplication, FAQ, HowTo) and direct answers.
Concrete results and metrics — engines cite them more readily than generic claims.
Expert authors, sameAs, mentions/integrations — vendor trust signals.
Want this done for your site — end to end?
FAQ
Why are SaaS docs often invisible to AI?
If help and docs render on the client via JavaScript, AI crawlers see an empty page. You need server rendering — then the content becomes citable.
What gives a quick win in B2B?
Comparison and 'alternatives' pages, llms.txt and structured data. Start there and run them through the GEO checker.